@CONFERENCE{MTMT:34693946,
	title = {Real-time foreground segmentation for surveillance applications in sequences from a Non-repetitive Circular Scanning Lidar},
	url = {https://m2.mtmt.hu/api/publication/34693946},
	author = {Kovács, Lóránt and Kégl, Marcell and Benedek, Csaba},
	booktitle = {Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája},
	unique-id = {34693946},
	year = {2023},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X; Benedek, Csaba/0000-0003-3203-0741}
}

@CONFERENCE{MTMT:34693938,
	title = {Real-Time Surveillance Application for NRCS Lidar Sequences},
	url = {https://m2.mtmt.hu/api/publication/34693938},
	author = {Kégl, Marcell and Kovács, Lóránt and Benedek, Csaba},
	booktitle = {Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája},
	unique-id = {34693938},
	year = {2023},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X; Benedek, Csaba/0000-0003-3203-0741}
}

@article{MTMT:32925042,
	title = {Real-time foreground segmentation for surveillance applications in NRCS lidar sequences},
	url = {https://m2.mtmt.hu/api/publication/32925042},
	author = {Kovács, Lóránt and Kégl, Marcell and Benedek, Csaba},
	doi = {10.5194/isprs-archives-XLIII-B1-2022-45-2022},
	journal-iso = {ISPRS (2002-)},
	journal = {INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY AND REMOTE SENSING (2002-)},
	volume = {XLIII-B1-2022},
	unique-id = {32925042},
	issn = {1682-1750},
	year = {2022},
	eissn = {2194-9034},
	pages = {45-51},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X; Benedek, Csaba/0000-0003-3203-0741}
}

@article{MTMT:32660821,
	title = {Change detection in unregistered 3D point clouds},
	url = {https://m2.mtmt.hu/api/publication/32660821},
	author = {Kovács, Lóránt},
	journal-iso = {PHD PROC PPKE IT},
	journal = {PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS},
	volume = {16},
	unique-id = {32660821},
	issn = {2064-7271},
	year = {2021},
	pages = {67},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X}
}

@article{MTMT:32150436,
	title = {ChangeGAN: A deep network for change detection in coarsely registered point clouds},
	url = {https://m2.mtmt.hu/api/publication/32150436},
	author = {Nagy, Balázs and Kovács, Lóránt and Benedek, Csaba},
	doi = {10.1109/LRA.2021.3105721},
	journal-iso = {IEEE ROBOT AUTOM LETT},
	journal = {IEEE ROBOTICS AND AUTOMATION LETTERS},
	volume = {6},
	unique-id = {32150436},
	issn = {2377-3766},
	year = {2021},
	eissn = {2377-3766},
	pages = {8277-8284},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X; Benedek, Csaba/0000-0003-3203-0741}
}

@article{MTMT:32660860,
	title = {Change detection in Lidar point clouds},
	url = {https://m2.mtmt.hu/api/publication/32660860},
	author = {Kovács, Lóránt},
	journal-iso = {PHD PROC PPKE IT},
	journal = {PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS},
	volume = {15},
	unique-id = {32660860},
	issn = {2064-7271},
	year = {2020},
	pages = {68},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X}
}

@inproceedings{MTMT:31275586,
	title = {Multi-Object Detection in Urban Scenes Utilizing 3D Background Maps and Tracking},
	url = {https://m2.mtmt.hu/api/publication/31275586},
	author = {H. Zováthi, Örkény Ádám and Kovács, Lóránt and Nagy, Balázs and Benedek, Csaba},
	booktitle = {2019 International Conference on Control, Artificial Intelligence, Robotics & Optimization (ICCAIRO)},
	doi = {10.1109/ICCAIRO47923.2019.00044},
	unique-id = {31275586},
	year = {2020},
	pages = {231-236},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X; Benedek, Csaba/0000-0003-3203-0741}
}

@article{MTMT:32660893,
	title = {Challenges in track to track sensor fusion using neural networks},
	url = {https://m2.mtmt.hu/api/publication/32660893},
	author = {Kovács, Lóránt},
	journal-iso = {PHD PROC PPKE IT},
	journal = {PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS},
	volume = {14},
	unique-id = {32660893},
	issn = {2064-7271},
	year = {2019},
	pages = {60},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X}
}

@article{MTMT:32660940,
	title = {Challenges in sensor fusion},
	url = {https://m2.mtmt.hu/api/publication/32660940},
	author = {Kovács, Lóránt},
	journal-iso = {PHD PROC PPKE IT},
	journal = {PHD PROCEEDINGS ANNUAL ISSUES OF THE DOCTORAL SCHOOL FACULTY OF INFORMATION TECHNOLOGY AND BIONICS},
	volume = {13},
	unique-id = {32660940},
	issn = {2064-7271},
	year = {2018},
	pages = {55},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X}
}

@inproceedings{MTMT:30311704,
	title = {Performance Evaluation of a Track to Track Sensor Fusion Algorithm},
	url = {https://m2.mtmt.hu/api/publication/30311704},
	author = {Kovács, Lóránt and Lindenmaier, László and Németh, Huba and Tihanyi, Viktor Roland and Zarándy, Ákos},
	booktitle = {CNNA 2018.16th International Workshop on Cellular Nanoscale Networks and their Applications},
	unique-id = {30311704},
	abstract = {The development of autonomous vehicles requires algorithms responsible for constructing the local surroundings of the vehicles. The algorithm responsible for creating a common model from the sensors' detection is the so called sensor fusion method. The performance of these methods should be compared to each other, using a common metric, in order to select the proper algorithmic approach, sensor set or sensor placement. This paper describes the evaluation of a track to track sensor fusion algorithm on a dataset recorded on highways.},
	year = {2018},
	pages = {90-91},
	orcid-numbers = {Kovács, Lóránt/0000-0001-9930-348X}
}